Predictors of return-to-work after thyroid cancer surgery based on random forest model: a cross-sectional study.

IF 1.6 3区 医学 Q2 SURGERY
Xiaoxia Tang, Xiaolin Yi, Huina Mao, Mei Wang, Rui Chen, Aoxue Zhu
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Abstract

Background: Thyroid cancer (TC) is the most prevalent malignancy among middle-aged and young adults. Many patients will face the challenge of return-to-work (RTW) after TC surgery. If patients cannot return to work successfully, it may affect their social recovery and quality of life. This study used the random forest algorithm to identify the predictors of RTW after TC surgery.

Methods: A cross-sectional study was conducted, encompassing a sample of 242 patients who underwent TC surgery in Zhujiang Hospital of Southern Medical University from April to December 2023. The participants completed questionnaires including the general information questionnaire, the Return-To-Work Self-Efficacy Questionnaire (RTW-SE), the Cancer Fatigue Scale (CFS), and the Vancouver Scar Scale (VSS). In this study, the predictors of RTW after TC surgery were analyzed by univariate analysis, multiple logistic regression, and random forest model (RFM).

Results: The final 229 TC patients were included in this study, of which 183 (79.9%) returned to work, of which 46 (20.1%) failed to return to work. The median time of RTW was 30.00(14.00, 33.75) days after TC surgery. The RFM indicated that RTW-SE was a key predictor related to RTW after TC surgery and other predictors were ranked in order of importance as follows: postoperative time, neck scar (NS), medical insurance, complications, and rehabilitation exercise.

Conclusions: 20.1% (46/229) of patients still failed to return to work after TC surgery. Healthcare professionals ought to emphasize the importance of modifiable factors, improving TC patients' RTW-SE, reducing the formation of NS, minimizing the occurrence of complications, and promoting rehabilitation exercise may help to facilitate RTW after TC surgery.

基于随机森林模型的甲状腺癌手术后重返工作的预测因素:一项横断面研究。
背景:甲状腺癌(TC)是中青年最常见的恶性肿瘤。许多患者在TC手术后将面临重返工作(RTW)的挑战。如果患者不能成功重返工作岗位,可能会影响他们的社会恢复和生活质量。本研究采用随机森林算法识别TC术后RTW的预测因素。方法:采用横断面研究方法,选取2023年4月至12月在南方医科大学珠江医院行TC手术的患者242例。参与者完成一般信息问卷、重返工作自我效能感问卷、癌症疲劳量表和温哥华疤痕量表。本研究采用单因素分析、多元logistic回归和随机森林模型(RFM)对TC术后RTW的预测因素进行分析。结果:本研究最终纳入229例TC患者,其中183例(79.9%)恢复工作,其中46例(20.1%)未能恢复工作。TC术后RTW的中位时间为30.00(14.00,33.75)天。RFM显示RTW- se是与TC术后RTW相关的关键预测因子,其他预测因子的重要程度依次为:术后时间、颈部疤痕(NS)、医疗保险、并发症、康复训练。结论:20.1%(46/229)患者术后仍未能恢复工作。医护人员应强调可改变因素的重要性,提高TC患者的RTW- se,减少NS的形成,减少并发症的发生,提倡康复运动有助于TC术后RTW的顺利进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Surgery
BMC Surgery SURGERY-
CiteScore
2.90
自引率
5.30%
发文量
391
审稿时长
58 days
期刊介绍: BMC Surgery is an open access, peer-reviewed journal that considers articles on surgical research, training, and practice.
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